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EP3631700A4 - Gradientenbasierte trainingsmaschine für quaternion-basierte maschinenlernsysteme - Google Patents

Gradientenbasierte trainingsmaschine für quaternion-basierte maschinenlernsysteme Download PDF

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Publication number
EP3631700A4
EP3631700A4 EP18809472.6A EP18809472A EP3631700A4 EP 3631700 A4 EP3631700 A4 EP 3631700A4 EP 18809472 A EP18809472 A EP 18809472A EP 3631700 A4 EP3631700 A4 EP 3631700A4
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EP
European Patent Office
Prior art keywords
quaternion
gradient
learning systems
training engine
machine
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP18809472.6A
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English (en)
French (fr)
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EP3631700A1 (de
Inventor
Monica Lucia MARTINEZ-CANALES
Sudhir K. Singh
Vinod Sharma
Malini Krishnan BHANDARU
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Intel Corp
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Intel Corp
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Publication of EP3631700A1 publication Critical patent/EP3631700A1/de
Publication of EP3631700A4 publication Critical patent/EP3631700A4/de
Withdrawn legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/046—Forward inferencing; Production systems

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medical Informatics (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Image Analysis (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Image Processing (AREA)
EP18809472.6A 2017-05-31 2018-05-31 Gradientenbasierte trainingsmaschine für quaternion-basierte maschinenlernsysteme Withdrawn EP3631700A4 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762513390P 2017-05-31 2017-05-31
PCT/US2018/035431 WO2018222896A1 (en) 2017-05-31 2018-05-31 Gradient-based training engine for quaternion-based machine-learning systems

Publications (2)

Publication Number Publication Date
EP3631700A1 EP3631700A1 (de) 2020-04-08
EP3631700A4 true EP3631700A4 (de) 2021-03-17

Family

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Family Applications (3)

Application Number Title Priority Date Filing Date
EP18808832.2A Withdrawn EP3631692A4 (de) 2017-05-31 2018-05-31 Rechnerisch effizientes quaternionenbasiertes maschinenlernsystem
EP18809474.2A Withdrawn EP3631701A4 (de) 2017-05-31 2018-05-31 Tensorbasiertes rechensystem für quaternion-operationen
EP18809472.6A Withdrawn EP3631700A4 (de) 2017-05-31 2018-05-31 Gradientenbasierte trainingsmaschine für quaternion-basierte maschinenlernsysteme

Family Applications Before (2)

Application Number Title Priority Date Filing Date
EP18808832.2A Withdrawn EP3631692A4 (de) 2017-05-31 2018-05-31 Rechnerisch effizientes quaternionenbasiertes maschinenlernsystem
EP18809474.2A Withdrawn EP3631701A4 (de) 2017-05-31 2018-05-31 Tensorbasiertes rechensystem für quaternion-operationen

Country Status (4)

Country Link
US (3) US11263526B2 (de)
EP (3) EP3631692A4 (de)
CN (3) CN110603544A (de)
WO (3) WO2018222900A1 (de)

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Also Published As

Publication number Publication date
CN110574050A (zh) 2019-12-13
US11521060B2 (en) 2022-12-06
US20200202216A1 (en) 2020-06-25
EP3631701A4 (de) 2021-03-31
CN110603544A (zh) 2019-12-20
US20200193235A1 (en) 2020-06-18
EP3631700A1 (de) 2020-04-08
WO2018222900A1 (en) 2018-12-06
WO2018222896A1 (en) 2018-12-06
CN110574051A (zh) 2019-12-13
US11263526B2 (en) 2022-03-01
WO2018222904A1 (en) 2018-12-06
EP3631692A1 (de) 2020-04-08
US11593643B2 (en) 2023-02-28
EP3631692A4 (de) 2021-03-24
US20200117993A1 (en) 2020-04-16
EP3631701A1 (de) 2020-04-08

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